About the role
CirrusMD is seeking a strategic Lead Business Intelligence Analyst with 5+ years of relevant analytics experience who thrives in deriving insights out of complex data. You are a bridge-builder and critical insights partner who demonstrates the value for CirrusMD, aligns business intent with technical execution, and fosters a culture of data-informed decision-making. You partner with teams across the entire organization and do not hesitate to get into the weeds to understand the data. This role will be instrumental in providing accurate and meaningful data and insights that will be used to pave the way for our path ahead.
Location: This position may work remotely anywhere in the United States of America.
What you’ll do (Essential Responsibilities)
Bridge the Gap: Act as the primary data partner to product, clinical, client success, finance, and engineering teams to align cross-functional initiatives and build a unified, data-informed organizational ecosystem.
Quantify Value: Architect robust measurement frameworks that transform product, clinical, and commercial initiatives into clearly defined performance metrics, directly demonstrating the economic value and ROI of CirrusMD’s solution to external stakeholders and clients
Data Lifecycle Ownership: Own the project data lifecycle - from initial ideation and feasibility assessment to building internal/client-facing reporting.
Semantic Layer Stewardship: Collaborate with engineers to define data structures and build out the Looker semantic layer to ensure high-trust, reusable data.
Insight Generation: Transform complex datasets into actionable insights that influence the strategic direction of the organization.
Performance Visibility & Delivery: Build and maintain high-impact visualization solutions and reporting frameworks that drive awareness and understanding of key performance metrics.
All other duties assigned.
What you’ll bring (Qualifications)
Experience: 5+ years of relevant analytics experience
Strategic Partnership: Proven experience translating business requirements into technical execution for cross-functional stakeholders.
Technical Proficiency: Strong to advanced SQL skills; experience with Cloud Data Platforms (e.g., Snowflake) and BI reporting tools (e.g., Looker Cloud/On-Prem).
Data Modeling: Expert in building semantic layers (LookML), managing version control via GitHub, and applying data architecture best practices to ensure scalable, high-performance reporting environments.
Lifecycle Management: Proven ability to manage the full data lifecycle, from greenfield modeling to refactoring and optimizing legacy technical debt.
Communication: Exceptional bi-directional communication skills that allow you to distill complex technical topics for non-technical stakeholders while also collaborating effectively with technical counterparts.
Autonomy & Prioritization: Proven ability to manage competing priorities, knowing when to dive deep and when to zoom out to meet deadlines.
Data Governance & Client Delivery: Experience fulfilling complex, client-facing data requests while maintaining clear boundaries around data governance. You are highly adept at balancing stakeholder accommodation with a strict adherence to established organizational standards.
Integrity: Experience owning high-integrity data processes (e.g., billing, invoicing, or clinical reporting) where accuracy is non-negotiable.
Analytical Rigor: Knowledge and application of statistical methods and concepts such as incorporating confidence intervals, hypothesis testing, sentiment analysis, and anomaly detection.
Preferred Qualifications
Advanced Analytics: Experience with data transformation tools (dbt, Airflow) and the ability to leverage toolsets (Python/R) for analysis beyond standard SQL.
Healthcare Domain Expertise: Deep understanding of HIPAA/FedRAMP compliance, PII/PHI handling, and clinical metrics (HEDIS/NCQA/NQF).
CDP Experience: Knowledge of event-based tracking and Customer Data Platforms (e.g., Segment).
Systems Thinking: A holistic understanding of modern data stacks, infrastructure dependencies, and how upstream engineering impacts downstream consumption.
AI Fluency: Experience implementing AI-driven BI capabilities (such as Natural Language Querying or Looker Conversational Analytics) to democratize data access and enable intuitive, self-service exploration for business users
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- Competitive compensation
- Deeply subsidized medical, dental & vision insurance for you and your family
- Unlimited PTO / Vacation
- 401(K) + match
- Paid maternity & paternity leave
- Remote friendly
- Growth opportunity
- A positive, collaborative and diverse culture
- Social events onsite & remote
- Free, unlimited access to our text-first platform
Reasonable Accommodation:
Should you require reasonable accommodation(s) to participate in the application/interview/selection process, or in order to complete the essential duties of the position upon acceptance of a job offer, click here to submit a recruitment accommodation request.
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Skills Required
- 5+ years of relevant analytics experience
- Experience translating business requirements into technical execution for cross-functional stakeholders
- Strong to advanced SQL skills
- Experience with cloud data platforms such as Snowflake
- Experience with BI reporting tools such as Looker Cloud or Looker On-Prem
- Expertise building semantic layers with LookML
- Experience managing version control via GitHub
- Knowledge of data architecture best practices for scalable, high-performance reporting environments
- Ability to manage the full data lifecycle, including greenfield modeling, refactoring, and legacy technical debt optimization
- Exceptional communication skills with technical and non-technical stakeholders
- Ability to manage competing priorities and work autonomously
- Experience with client-facing data requests and data governance
- Experience owning high-integrity data processes such as billing, invoicing, or clinical reporting
- Knowledge of statistical methods including confidence intervals, hypothesis testing, sentiment analysis, and anomaly detection
- Experience with dbt or Airflow
- Ability to use Python or R for analysis beyond standard SQL
- Healthcare domain expertise, including HIPAA, FedRAMP, PII/PHI handling, and clinical metrics such as HEDIS, NCQA, or NQF
- Experience with event-based tracking and customer data platforms such as Segment
- Understanding of modern data stacks and infrastructure dependencies
- Experience implementing AI-driven BI capabilities such as Natural Language Querying or Looker Conversational Analytics
What We Do
Quantum Health is an award-winning consumer healthcare navigation company that delivers an unparalleled consumer experience based on empathy and trust, enabling employers to achieve industry-leading satisfaction rates and independently validated claim savings. Launched in 1999, Quantum Health’s model is based on years of consumer research and the insights learned from guiding millions of consumers and their providers through their healthcare journey. Based in Columbus, Ohio, Quantum Health has earned numerous awards and honors, including being named a Fastest-Growing Privately Held Company for the past nine years by Inc. 5000; one of the 50 Fastest-Growing Women-Owned/Led Companies for the past four years by the Women Presidents’ Organization; a Best Place to Work for the past 10 years by Columbus Business First; and a Great Place to Work® Best Small & Medium Workplaces by FORTUNE Magazine and Entrepreneur Magazine.
